
Before AI teams worried about feeding GPUs, Bin Fan was making key-value systems waste fewer bytes. His career follows one stubborn question across two technological eras: how do you keep expensive machines from waiting on data?

He learned the internet through portals, games and partnerships. Now the former Google executive is testing the economics and infrastructure of open-source AI with his own hands.

From Lotus and Changepoint to Kubex, the Toronto software executive has built a career around a stubborn enterprise problem: data is only valuable when someone can act on it.